Mr. Roman Sizyakin Profile

Roman Sizyakin

at Univ Gent

SPIE Involvement:

Author

Publications (20)

Proceedings Article | 7 August 2023 Poster + Paper

Deep learning-based image defect detection and removal in manufacturing

N. Gapon, V. Voronin, M. Zhdanova, R. Sizyakin, E. Semenishchev, Yu Ilyukhin

Proceedings Volume 12624, 126241Q (2023) https://doi.org/10.1117/12.2682045

KEYWORDS: Defect detection, Image restoration, Image processing, Image enhancement, Image filtering, Neural networks, Reconstruction algorithms, CAD systems, Manufacturing

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Proceedings Article | 16 June 2023 Poster + Paper

Defect detection and removal for depth map quality enhancement in manufacturing with deep learning

N. Gapon, V. Voronin, R. Sizyakin, M. Zhdanova, E. Semenishchev, A. Zelensky

Proceedings Volume 12524, 125240L (2023) https://doi.org/10.1117/12.2666560

KEYWORDS: Depth maps, Defect detection, Image fusion, Image restoration, Manufacturing, Image filtering, Reconstruction algorithms, Feature fusion, Neural networks

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Proceedings Article | 4 January 2023 Poster + Paper

Pre-processing and data fusion of a complex image obtained by a pair of sensors with a free arrangement

Evgenii Semenishchev, Viacheslav Voronin, Aleksandr Zelensky, Marina Zhdanova, Roman Sizyakin, Solavat Urunov

Proceedings Volume 12317, 123171D (2023) https://doi.org/10.1117/12.2646167

KEYWORDS: Image fusion, Sensors, Image processing, Image sensors, Machine vision, Control systems, Robotics

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Proceedings Article | 19 December 2022 Poster + Paper

Fabric image inspection using deep learning approach

R. Sizyakin, V. Voronin, N. Gapon, E. Semenishchev, A. Zelensky, Yu. Ilyukhin

Proceedings Volume 12319, 1231922 (2022) https://doi.org/10.1117/12.2646485

KEYWORDS: Defect detection, Image enhancement, Inspection, Image filtering, Neural networks, Deep learning, Machine learning, Image segmentation, Education and training

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Proceedings Article | 19 December 2022 Poster + Paper

Preprocessing to improve the accuracy of recognition of radioelement components in automated assembly devices

Evengii Semenishchev, Aleksandr Zelensky, Marina Zdanova, Yuriy Ilukhin, Viacheslav Voronin, Roman Sizyakin

Proceedings Volume 12319, 123191Z (2022) https://doi.org/10.1117/12.2646164

KEYWORDS: Machine vision, Sensors, Image processing, Electronics, Robotics

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Proceedings Article | 28 October 2022 Poster + Paper

Formation of an algorithm for increasing the accuracy of restoring the boundaries of objects obtained to create 3D structures

Evgenii Semenishchev, Aleksandr Zelensky, Marina Zhdanova, Yury Ilyukhin, Roman Sizyakin, Viacheslav Voronin

Proceedings Volume 12276, 122760L (2022) https://doi.org/10.1117/12.2641158

KEYWORDS: Cameras, Machine vision, Image segmentation, 3D image processing, 3D modeling, Smoothing, Algorithm development

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SPIE Journal Paper | 1 August 2022

Virtual restoration of paintings using adaptive adversarial neural network

Roman Sizyakin, Viacheslav Voronin, Aleksandr Zelensky, Aleksandra Pižurica

JEI, Vol. 31, Issue 04, 043025, (August 2022) https://doi.org/10.1117/12.10.1117/1.JEI.31.4.043025

KEYWORDS: Neural networks, Image filtering, Infrared radiation, Image processing, X-rays, Visualization, Infrared imaging, Gallium nitride, Data modeling, Performance modeling

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Proceedings Article | 5 March 2022 Paper

Virtual restoration of paintings based on deep learning

Roman Sizyakin, Viacheslav Voronin, Aleksandra Pižurica

Proceedings Volume 12084, 120841G (2022) https://doi.org/10.1117/12.2624371

KEYWORDS: Neural networks, Image segmentation, Image processing, Image restoration, Visualization, Network architectures, Image filtering, Convolutional neural networks

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Proceedings Article | 20 June 2021 Poster + Paper

Automated visual inspection of fabric image using deep learning approach for defect detection

V. Voronin, R. Sizyakin, M. Zhdanova, E. Semenishchev, D. Bezuglov, A. Zelemskii

Proceedings Volume 11787, 117870P (2021) https://doi.org/10.1117/12.2592872

KEYWORDS: Defect detection, Optical inspection, Image enhancement, Neural networks, Manufacturing, Machine learning, Detection and tracking algorithms, Databases, Control systems

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Proceedings Article | 20 September 2020 Paper

A deep learning approach to crack detection on road surfaces

Roman Sizyakin, Viacheslav Voronin, Nikolay Gapon, Aleksandra Pižurica

Proceedings Volume 11543, 115430P (2020) https://doi.org/10.1117/12.2574131

KEYWORDS: Roads, Safety, Neural networks, Machine learning, Databases

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Proceedings Article | 1 April 2020 Presentation + Paper

A two-stream neural network architecture for the detection and analysis of cracks in panel paintings

Roman Sizyakin, Bruno Cornelis, Laurens Meeus, Viacheslav Voronin, Aleksandra Pizurica

Proceedings Volume 11353, 113530B (2020) https://doi.org/10.1117/12.2555857

KEYWORDS: Neural networks, Image filtering, Convolutional neural networks, Visualization, Machine learning, Binary data, Image classification, Image processing, Spatial filters, Image visualization

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Proceedings Article | 31 January 2020 Paper

Depth-map inpainting using learned patch-based propagation

Nikolay Gapon, Viacheslav Voronin, Roman Sizyakin, Marina Zhdanova, Alexander Zelensky

Proceedings Volume 11433, 1143338 (2020) https://doi.org/10.1117/12.2559452

KEYWORDS: Cameras, Neural networks, Image processing, Image restoration, Reconstruction algorithms, Robotics, Intelligence systems

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Proceedings Article | 31 January 2020 Paper

Automated visual inspection algorithm for the reflection detection and removing in image sequences

Roman Sizyakin, Viacheslav Voronin, Nikolay Gapon, Alexey Nadykto, Aleksandra Pižurica, Alexander Zelensky

Proceedings Volume 11433, 114332B (2020) https://doi.org/10.1117/12.2559362

KEYWORDS: Specular reflections, Image enhancement, Detection and tracking algorithms, RGB color model, Neural networks, Image processing, Reflection, Image segmentation, Image analysis, Image restoration

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Proceedings Article | 24 September 2019 Paper

Rain and snow removal using multi-guided filter and anisotropic gradient in the quaternion framework

V. Voronin, E. Semenishchev, M. Zhdanova, R. Sizyakin, A. Zelenskii

Proceedings Volume 11169, 111690S (2019) https://doi.org/10.1117/12.2534744

KEYWORDS: Detection and tracking algorithms, Evolutionary algorithms, RGB color model, Machine vision, Computer vision technology, Object recognition, Visual process modeling, Convolution, Neural networks

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Proceedings Article | 21 June 2019 Paper

Automatic detection of welding defects using the convolutional neural network

Roman Sizyakin, Viacheslav Voronin, Nikolay Gapon, Aleksandr Zelensky, Aleksandra Pižurica

Proceedings Volume 11061, 110610E (2019) https://doi.org/10.1117/12.2525643

KEYWORDS: Convolutional neural networks, Image filtering, Defect detection, Image enhancement, Neural networks, Image classification, Image processing, X-rays

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Proceedings Article | 15 March 2019 Paper

Video block error recovery using modified patch-based inpainting

Nikolay Gapon, Viacheslav Voronin, Roman Sizyakin, Marina Pismenskova, Alexey Nadykto

Proceedings Volume 11041, 110410D (2019) https://doi.org/10.1117/12.2522808

KEYWORDS: Video, Image restoration, Neural networks, Video coding, Image processing, Image compression

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Proceedings Article | 15 March 2019 Paper

A blotch detection method for archive video restoration using a neural network

Roman Sizyakin , Viacheslav Voronin, Nikolay Gapon , Marina Pismenskova , Alexey Nadykto

Proceedings Volume 11041, 110410W (2019) https://doi.org/10.1117/12.2522807

KEYWORDS: Video, Neural networks, Analog electronics, Video processing, Computing systems, Optical flow, Image processing, Intelligence systems

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Proceedings Article | 2 November 2018 Presentation + Paper

Detection of deleted frames on videos using a 3D convolutional neural network

V. Voronin, R. Sizyakin, A. Zelensky, A. Nadykto, I. Svirin

Proceedings Volume 10802, 108020U (2018) https://doi.org/10.1117/12.2326806

KEYWORDS: Video, Convolutional neural networks, Optical flow, Statistical analysis, Video processing, Digital forensics

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Proceedings Article | 19 May 2016 Paper

Automatic image cracks detection and removal on mobile devices

V. Voronin, V. Marchuk, R. Sizyakin, N. Gapon, M. Pismenskova, S. Tokareva

Proceedings Volume 9869, 98690R (2016) https://doi.org/10.1117/12.2224339

KEYWORDS: Image processing, Image restoration, Mobile devices, Photography, Detection and tracking algorithms, Binary data, Defect detection, Image processing algorithms and systems, Image segmentation, Reconstruction algorithms

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Proceedings Article | 25 February 2014 Paper

Exemplar-based inpainting using local binary patterns

V. Voronin, V. Marchuk, N. Gapon, R. Sizyakin, A. Sherstobitov, K. Egiazarian

Proceedings Volume 9019, 901907 (2014) https://doi.org/10.1117/12.2038556

KEYWORDS: Binary data, Image restoration, Electron beam melting, Reconstruction algorithms, Image processing, Image compression, Visualization, Image quality, Error analysis, Digital photography

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Showing 5 of 20 publications

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